title: Postoperative nomogram predicting risk of recurrence after radical hysterectomy for early-stage cervical cancer.
abstract: The aim of this study was to develop a nomogram for predicting the 5-year disease-free survival (DFS) after radical hysterectomy for early-stage cervical cancer.
  
  
  
  An institutional database of 275 consecutive patients treated at Seoul National University Hospital for stage I to stage IIA cervical cancer was used to develop a nomogram based on Cox proportional hazards regression model. The developed nomogram was internally validated with bootstrapping, and performance was assessed by concordance index and a calibration curve. External validation was also performed using an independent data set of patients from Asan Medical Center.
  
  
  
  From Cox regression analysis, disease stage, number of positive lymph nodes, parametrial involvement, and depth of invasion were identified as independent risk factors for disease recurrence (P < 0.05). The nomogram incorporating these factors appeared to be accurate and predicted the outcomes better than the International Federation of Gynecology and Obstetrics stage alone (concordance index, 0.858 compared with 0.719; P = 0.001). When applied to a separate validation set, the nomogram also showed similar predictive accuracy (concordance index, 0.879).
  
  
  
  We have developed a nomogram that can predict the recurrence risk in patients with early-stage cervical cancer after surgery, which was internally and externally validated.
authors.affiliation: Department of Obstetrics and Gynecology, College of Medicine, Seoul National University, Seoul, Korea.
authors.forename: Mi-Kyung
authors.initials: MK
authors.lastname: Kim
authors.forename: Hoenil
authors.initials: H
authors.lastname: Jo
authors.forename: Hyoun-Joong
authors.initials: HJ
authors.lastname: Kong
authors.forename: Hee Chan
authors.initials: HC
authors.lastname: Kim
authors.forename: Jae Weon
authors.initials: JW
authors.lastname: Kim
authors.forename: Yong-Man
authors.initials: YM
authors.lastname: Kim
authors.forename: Yong-Sang
authors.initials: YS
authors.lastname: Song
authors.forename: Soon-Beom
authors.initials: SB
authors.lastname: Kang
authors.forename: Jung-Eun
authors.initials: JE
authors.lastname: Mok
authors.forename: Hyo Pyo
authors.initials: HP
authors.lastname: Lee
mesh_terms: D000328:Adult; D000368:Aged; D002294:Carcinoma, Squamous Cell / Q000175:diagnosis* / Q000401:mortality / Q000473:pathology / Q000601:surgery*; D018450:Disease Progression; D005260:Female; D006801:Humans; D007044:Hysterectomy / Q000379:methods; D008875:Middle Aged; D009367:Neoplasm Staging / Q000379:methods; D049451:Nomograms; D011184:Postoperative Period; D011379:Prognosis; D012008:Recurrence; D012307:Risk Factors; D016019:Survival Analysis; D002583:Uterine Cervical Neoplasms / Q000175:diagnosis* / Q000401:mortality / Q000473:pathology / Q000601:surgery*